Google
Google
TensorFlow
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Google
Google
TensorFlow

TensorFlow is an open source platform for machine learning. It provides comprehensive tools and libraries in a flexible architecture allowing easy deployment across a variety of platforms and devices.

  • LayerLabelCreated
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.build.ref=7b3822370b6f5f41f754d790420d3cdbe82eb880
    01/28/2021 11:51 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_REF
    01/28/2021 11:51 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4LABEL
    com.nvidia.build.id=19554493
    01/28/2021 11:51 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    NVIDIA_BUILD_ID=19554493
    01/28/2021 11:51 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ARG
    NVIDIA_BUILD_ID
    01/28/2021 11:51 PM UTC
    sha256:226c721da091ea848556338b1b4e6a098d5bab817a1408d0e91c3c0495e10c72RUN
    TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.02-tf1 PYVER=3.8 BAZEL_VERSION=0.24.1 TFAPI=1 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 ln -sf ${_CUDA_COMPAT_PATH}/lib.real ${_CUDA_COMPAT_PATH}/lib &&
      echo ${_CUDA_COMPAT_PATH}/lib > /etc/ld.so.conf.d/00-cuda-compat.conf &&
      ldconfig &&
      rm -f ${_CUDA_COMPAT_PATH}/lib
    01/28/2021 11:51 PM UTC
    sha256:3d3d130d62dcd735cd5c838da8a025a438744d527e11043ecd93783faefa4a40RUN
    TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.02-tf1 PYVER=3.8 BAZEL_VERSION=0.24.1 TFAPI=1 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 pip install --no-cache-dir --extra-index-url https://pypi.ngc.nvidia.com --extra-index-url https://tensorrt-read-only:Tensorrt\@123@urm.nvidia.com/artifactory/api/pypi/sw-tensorrt-pypi/simple polygraphy
    01/28/2021 11:51 PM UTC
    sha256:a3ed95caeb02ffe68cdd9fd84406680ae93d633cb16422d00e8a7c22955b46d4ENV
    PATH=/usr/local/mpi/bin:/usr/local/nvidia/bin:/usr/local/cuda/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/local/ucx/bin:/opt/tensorrt/bin
    01/28/2021 11:51 PM UTC
    sha256:28ab46ecf26c28178c028d71cbc0eb82a2a8bf18d73fe14d5de342c735217194RUN
    TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.02-tf1 PYVER=3.8 BAZEL_VERSION=0.24.1 TFAPI=1 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 URL=$(VERIFY=1 /nvidia/build-scripts/installTRT.sh 2>/dev/null | sed -n "s/^.*\(http.*\)deb.*$/\1/p")tar &&
      FILE=$(wget -O - $URL 2>/dev/null | sed -n 's/^.*href="\(TensorRT[^"]*\)".*$/\1/p' | grep -v internal) &&
      wget --quiet $URL/$FILE -O - | tar -xz &&
      PY=$(python -c 'import sys; print(str(sys.version_info[0])+str(sys.version_info[1]))') &&
      pip install TensorRT-*/python/tensorrt-*-cp$PY*.whl &&
      pip install TensorRT-*/graphsurgeon/graphsurgeon-*.whl &&
      pip install TensorRT-*/uff/uff-*.whl &&
      mv /usr/src/tensorrt /opt &&
      ln -s /opt/tensorrt /usr/src/tensorrt &&
      rm -r TensorRT-* &&
      UFF_PATH=$(pip show uff | sed -n 's/Location: \(.*\)$/\1/p')/uff &&
      chmod +x ${UFF_PATH}/bin/convert_to_uff.py &&
      ln -sf ${UFF_PATH}/bin/convert_to_uff.py /usr/local/bin/convert-to-uff
    01/28/2021 11:51 PM UTC
    sha256:e47d055d9975cdc1b9355668844a305689e5f11ecb441d99289fa6399188fddeRUN
    TENSORFLOW_VERSION=1.15.5 NVIDIA_TENSORFLOW_VERSION=21.02-tf1 PYVER=3.8 BAZEL_VERSION=0.24.1 TFAPI=1 BAZEL_CACHE=--bazel-cache NVTX_PLUGINS_VERSION=0.1.8 pip install --no-cache-dir -r nvidia-examples/bert/requirements.txt &&
      pip install --no-cache-dir -r nvidia-examples/UNet_Industrial/requirements.txt &&
      pip install --no-cache-dir -r nvidia-examples/unet3d_tf/requirements.txt &&
      sed -i 's/SimpleITK==1.1.0/SimpleITK==2.0.1/' nvidia-examples/vnet_tf/requirements.txt &&
      pip install --no-cache-dir -r nvidia-examples/vnet_tf/requirements.txt &&
      if [[ `pip list|grep cupy` ]]; then sed -i 's/cupy//' nvidia-examples/NCF/requirements.txt; fi &&
      pip install --no-cache-dir -r nvidia-examples/NCF/requirements.txt &&
      pip install --no-cache-dir -r nvidia-examples/resnet50v1.5/requirements.txt &&
      pip install --no-cache-dir -r nvidia-examples/gnmt_v2/requirements.txt &&
      pip install --no-cache-dir -r nvidia-examples/ssdv1.2/requirements.txt &&
      pip install --no-cache-dir -r nvidia-examples/UNet_Medical/requirements.txt
    01/28/2021 11:51 PM UTC
    ...